The Experts below are selected from a list of 797529 Experts worldwide ranked by ideXlab platform
Sibillastefano - One of the best experts on this subject based on the ideXlab platform.
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Numerical simulation of Fluid-Structure Interaction by SPH
Computers & Structures, 2007Co-Authors: Antocicarla, Gallatimario, SibillastefanoAbstract:A Lagrangian model for the numerical simulation of Fluid-Structure Interaction problems is proposed in the present paper. In the method both fluid and solid phases are described by smoothing partic...
Kai Yang - One of the best experts on this subject based on the ideXlab platform.
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Well-posedness and robust preconditioners for discretized fluid–structure Interaction systems
Computer Methods in Applied Mechanics and Engineering, 2015Co-Authors: Kai YangAbstract:Abstract In this paper we develop a family of preconditioners for the linear algebraic systems arising from the arbitrary Lagrangian–Eulerian discretization of some fluid–structure Interaction models. After the time discretization, we formulate the fluid–structure Interaction equations as saddle point problems and prove the uniform well-posedness. Then we discretize the space dimension by finite element methods and prove their uniform well-posedness by two different approaches under appropriate assumptions. The uniform well-posedness makes it possible to design robust preconditioners for the discretized fluid–structure Interaction systems. Numerical examples are presented to show the robustness and efficiency of these preconditioners.
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Well-posedness and Robust Preconditioners for the Discretized Fluid-Structure Interaction Systems
arXiv: Numerical Analysis, 2014Co-Authors: Kai YangAbstract:In this paper we develop a family of preconditioners for the linear algebraic systems arising from the arbitrary Lagrangian-Eulerian discretization of some Fluid-Structure Interaction models. After the time discretization, we formulate the Fluid-Structure Interaction equations as saddle point problems and prove the uniform well-posedness. Then we discretize the space dimension by finite element methods and prove their uniform well-posedness by two different approaches under appropriate assumptions. The uniform well-posedness makes it possible to design robust preconditioners for the discretized Fluid-Structure Interaction systems. Numerical examples are presented to show the robustness and efficiency of these preconditioners.
Vierendeelsjan - One of the best experts on this subject based on the ideXlab platform.
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Performance of partitioned procedures in Fluid-Structure Interaction
Computers & Structures, 2010Co-Authors: Degrootejoris, Haeltermanrobby, Annerelsebastiaan, Bruggemanpeter, VierendeelsjanAbstract:Partitioned simulations of Fluid-Structure Interaction can be solved for the interface's position with Newton-Raphson iterations but obtaining the exact Jacobian is impossible if the solvers are ''...
Antocicarla - One of the best experts on this subject based on the ideXlab platform.
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Numerical simulation of Fluid-Structure Interaction by SPH
Computers & Structures, 2007Co-Authors: Antocicarla, Gallatimario, SibillastefanoAbstract:A Lagrangian model for the numerical simulation of Fluid-Structure Interaction problems is proposed in the present paper. In the method both fluid and solid phases are described by smoothing partic...
Jacky Fabis - One of the best experts on this subject based on the ideXlab platform.
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Modeling accidental-type fluid–structure Interaction problems with the SPH method
Computers and Structures, 2009Co-Authors: Sergej Potapov, Bertrand Maurel, Alain Combescure, Jacky FabisAbstract:This paper presents the validation aspects of a unified numerical framework based on SPH formulation and devoted to the modeling of fluid–structure Interaction problems involving large motion of the fluid and large deformation with a possible failure of the structure. The fluid domain is modeled according to an updated Lagrangian formulation. The solid domain (3D and shell models) uses the total Lagrangian formulation. The fluid–structure Interaction is treated via a unilateral contact algorithm adapted to SPH context. The SPH framework is verified on academic test cases and validated by simulating an experiment involving the reservoir leakage.